Overview of MCP Server for Sentiment Analysis

The MCP Server is an innovative tool designed to analyze sentiment in news headlines from major US publications. Operating as a Model Context Protocol server, it bridges AI models with external data sources, providing a seamless interface for sentiment analysis. This server is a part of the UBOS Asset Marketplace, a platform that empowers businesses to harness AI Agents effectively.

Key Features

• Comprehensive Analysis: MCP Server can analyze up to 100 headlines per request, ensuring a broad overview of sentiment trends.
• Sentiment Scoring: It offers sentiment scoring on a 0-10 scale, with 0 being the most negative and 10 the most positive.
• Natural Language Date Parsing: Users can input dates in natural language (e.g., “yesterday”, “last Friday”) for ease of use.
• Source Distribution: The server provides detailed information on the distribution of headlines across major US news sources.
• Sample Headlines: Results include sample headlines, offering a snapshot of the analyzed content.

Use Cases

1. Market Research: Businesses can use the MCP Server to gauge public sentiment on trending topics, aiding in strategic decision-making.
2. Media Monitoring: PR teams can monitor news sentiment to manage brand reputation and respond to potential crises.
3. Academic Research: Researchers can analyze sentiment trends over time, contributing to studies in media bias and public opinion.
4. Investment Analysis: Investors can leverage sentiment data to inform trading strategies and portfolio management.

Integration with UBOS Platform

UBOS is a full-stack AI Agent Development Platform focused on integrating AI Agents into every business department. The MCP Server complements UBOS’s offerings by providing a tool that connects AI Agents with real-time sentiment data. This integration allows businesses to build custom AI Agents using their LLM models and multi-agent systems.

Prerequisites and Installation

To deploy the MCP Server, users need Node.js v16 or higher and a NewsAPI key. Installation involves cloning the repository, installing dependencies, building the server, and configuring the NewsAPI key.

# Clone the repository
git clone https://github.com/fred-em/headline-vibes.git
cd headline-vibes

# Install dependencies
npm install

# Build the server
npm run build

Configuration of the NewsAPI key is done in the MCP settings file, ensuring secure and efficient access to news data.

Error Handling and Development

The MCP Server provides clear error messages for common issues such as invalid date formats and API errors. For developers, the server can be run in watch mode during development, facilitating real-time updates and debugging.

Conclusion

The MCP Server is a powerful tool for businesses and researchers seeking to understand sentiment trends in news media. By integrating with the UBOS platform, it offers a comprehensive solution for deploying AI Agents that leverage real-time data, enhancing decision-making and strategic planning.